Effective coverage of newborn postnatal care: assessing the service contact-content gap in 32 low- and middle-income countries using household survey data.

Background: High-quality postnatal care (PNC) is essential for newborn survival. However, newborn PNC coverage indicators do not reflect the quality of care received. We estimated effective coverage of newborn PNC by incorporating content of care and calculated the contact-content gap in 32 low-and middle-income countries (LMICs).

Health service readiness and quality for sick child care: an effective coverage analysis in eight low- and middle-income countries.

Background: Most child deaths can be averted through prompt and appropriate treatment of child illnesses such as pneumonia, diarrhoea, and malaria. However, research has suggested that increases in care seeking do not necessarily mean that quality care is being received. We assessed the service readiness and process quality of curative healthcare during childhood and determined whether children are receiving health services with sufficient quality across countries.

Building an effective coverage cascade for antenatal care: linking of household survey and health facility assessment data in eight low- and middle-income countries.

Background: Substantial gaps exist between pregnant women's contact with health facilities and the quality of care they receive (effective coverage) in low- and middle-income countries (LMICs). An effective coverage cascade is a useful analytical approach to uncover gaps due to poor facility service readiness and quality of care. We estimated readiness-adjusted antenatal care (ANC) coverage and built an effective coverage cascade in countries with available data.

Effective Coverage of Modern Contraceptive Use in Ethiopia: An Ecological Linking Analysis of Service Provision Assessment and National Health Equity Surveys.

The increase in contraceptive prevalence rate (crude coverage) in Ethiopia over the past two decades does not necessarily reflect service quality, and although the proportion of women with unmet needs has decreased, it remains unacceptably high. Hence, this study aimed to estimate the effective coverage (EC) of modern contraceptive methods in Ethiopia, considering the quality of care. We used nationally representative surveys, such as health facility surveys (Ethiopia Service Provision Assessment, 2021/22) and household surveys (National Health Equity Survey, 2022/2023).

Delivery and postnatal care among women in 71 low- and middle-income countries: analyzing coverage gaps using household surveys.

Background: High levels of maternal morbidity and mortality persist in low- and middle-income countries, despite increases in coverage of facility delivery and skilled assistance at delivery. We compared levels of facility birth to a summary delivery care measure and quantified gaps.

Methods: We approximated a delivery care score from type of delivery (home, lower-level facility, or hospital), skilled attendant at delivery, a stay of 24-or-more-hours after delivery, and a health check within 48-h after delivery.

Quality adjusted coverage of family planning services in low- and middle-income countries: Analysis of 33 countries using Demographic and Health Survey data.

Background: Monitoring service quality for family planning programmes in low- and middle-income countries (LMICs) has been challenging due to data availability. Self-reported service quality from Demographic and Health Surveys (DHS) can provide additional information on quality beyond simple service contact.

Methods: The DHS collects need, use and counselling for contraceptives.

Factors Predicting Completion of Four or More Antenatal Care Visits in Sarlahi District, Nepal.

Background: A significant number of women die from pregnancy and childbirth complications globally, particularly in low- and middle-income countries (LMICs). Receiving at least four antenatal care (ANC) visits may be important in reducing maternal and perinatal deaths. This study investigates factors associated with attending ≥ 4 ANC visits in Sarlahi district of southern Nepal.

Effective multi-sectoral approach for rapid reduction in maternal and neonatal mortality: the exceptional case of Bangladesh.

Background: Bangladesh experienced impressive reductions in maternal and neonatal mortality over the past several decades with annual rates of decline surpassing 4% since 2000. We comprehensively assessed health system and non-health factors that drove Bangladesh's success in mortality reduction.

Methods: We operationalised a comprehensive conceptual framework and analysed available household surveys for trends and inequalities in mortality, intervention coverage and quality of care.

Neonatal mortality risk of vulnerable newborns by fine stratum of gestational age and birthweight for 230 679 live births in nine low- and middle-income countries, 2000-2017.

Objective: To describe the mortality risks by fine strata of gestational age and birthweight among 230 679 live births in nine low- and middle-income countries (LMICs) from 2000 to 2017.

Design: Descriptive multi-country secondary data analysis.

Setting: Nine LMICs in sub-Saharan Africa, Southern and Eastern Asia, and Latin America.

Climate shocks and nutrition: The role of food security policies and programs in enhancing maternal and neonatal survival in Niger.

Niger is afflicted with high rates of poverty, high fertility rates, frequent environmental crises, and climate change. Recurrent droughts and floods have led to chronic food insecurity linked to poor maternal and neonatal nutrition outcomes in vulnerable regions. We analyzed maternal and neonatal nutrition trends and subnational variability between 2000 and 2021 with a focus on the implementation of policies and programs surrounding two acute climate shocks in 2005 and 2010.

Risk factors for neonatal mortality: an observational cohort study in Sarlahi district of rural southern Nepal.

Objectives: To assess the association between maternal characteristics, adverse birth outcomes (small-for-gestational-age (SGA) and/or preterm) and neonatal mortality in rural Nepal.

Design: This is a secondary observational analysis to identify risk factors for neonatal mortality, using data from a randomised trial to assess the impact of newborn massage with different oils on neonatal mortality in Sarlahi district, Nepal.

Setting: Rural Sarlahi district, Nepal.

Neonatal mortality risk of vulnerable newborns: A descriptive analysis of subnational, population-based birth cohorts for 238 203 live births in low- and middle-income settings from 2000 to 2017.

Objective: We aimed to understand the mortality risks of vulnerable newborns (defined as preterm and/or born weighing smaller or larger compared to a standard population), in low- and middle-income countries (LMICs).

Design: Descriptive multi-country, secondary analysis of individual-level study data of babies born since 2000.

Setting: Sixteen subnational, population-based studies from nine LMICs in sub-Saharan Africa, Southern and Eastern Asia, and Latin America.

Demographic, socio-economic, obstetric, and behavioral factors associated with small-and large-for-gestational-age from a prospective, population-based pregnancy cohort in rural Nepal: a secondary data analysis.

Background: In South Asia, a third of babies are born small-for-gestational age (SGA). The risk factors are well described in the literature, but many studies are in high-and-middle income countries or measure SGA on facility births only. There are fewer studies that describe the prevalence of risk factors for large-for-gestational age (LGA) in low-income countries.

Development of an imputation model to recalibrate birth weights measured in the early neonatal period to time at delivery and assessment of its impact on size-for-gestational age and low birthweight prevalence estimates: a secondary analysis of a pregnancy cohort in rural Nepal.

Objectives: In low-income countries, birth weights for home deliveries are often measured at the nadir when babies may lose up of 10% of their birth weight, biasing estimates of small-for-gestational age (SGA) and low birth weight (LBW). We aimed to develop an imputation model that predicts the 'true' birth weight at time of delivery.

Design: We developed and applied a model that recalibrates weights measured in the early neonatal period to time=0 at delivery and uses those recalibrated birth weights to impute missing birth weights.